Recognize, Search & Enhance Images With AI
From ready-made to custom image recognition & visual search solutions under one API.
Get Custom AI Tailored to Your Images
Level up your image processing with custom solutions, combining existing & new features.
Build Computer Vision Models Without Coding
Create your own machine learning models and implement them easily into your website or app.
Ready-to-use Visual AI demos
Test Our Visual AI
Choose from off-the-shelf solutions for fashion, home decor, stock photos, collectibles, and more.
Stock Photos & Image Tools
Fashion Taging
Product Similarity
Search Fashion by Photo
Home Decor Tagging
Photo Tagging
Stock Photo Search
Background Removal
Dominant Colors
AI Recognition of Collectibles
Card Grader
FROM PATTERN RECOGNITION TO IMAGE SIMILARITY
Get Custom AI Tailored to Your Visual Data
Custom features — Your own labels, object categories, attributes, taxonomy, or language can be added to our solutions.
Semi-custom solutions — We can combine pre-trained & new modules for a tailored, budget-friendly solution.
New solutions for pioneers — We will craft an image or video processing system from scratch to help you pave the way.
MACHINE LEARNING FOR EVERYONE
No-Code Computer Vision Platform
Use Ximilar App to test, build & deploy your own visual artificial intelligence. Manage your collections in App & connect via API.
optical character recognition (OCR)
sports cards identification
language models (LLMs) integration
NUMBER 1 NO-CODE AI VISION PLATFORM
All-in-one Suite for Visual Data
With Ximilar, you can automate & streamline all image processing with one API. All on one platform and without coding.
Workflow examples
From quality control, security systems and video analysis, to pattern recognizing or medical diagnosis systems. See the typical image AI applications built with our platform.
HUMAN EXPERTISE, AI CONSISTENCY
Get Your AI Solution From Industry Experts
We aim to make artificial intelligence accessible to businesses of all sizes by building a reliable, cost-effective no-code platform.

Nessi Image Annotation Expert

David Founder, Computer Vision Expert

Gabriela Fashion Stylist, Customer Care

Michal CEO, Machine Learning Engineer
USE AI WITH CONFIDENCE
Transparency & Security Come First
Use secure AI software with maximal data privacy. We store only training data on our own servers in the EU, with all data protected under GDPR.

Dr. Reza Farshey CEO, Endogenie

We used Ximilar’s platform to build a model analyzing X-ray medical images. Even though the models are built on their platform, the data belong to our company. Support from Ximilar has been amazing, with a response time less than 24 hours. Overall, I am extremely happy with the service and product offerings from Ximilar.
Dr. Reza Farshey
Founder & CEO

Damo Bowland CEO, TCG Sync

Ximilar has been a fantastic partner for our card recognition needs. The backend system is highly reliable, and in the time we’ve been with Ximilar, we haven’t encountered a single issue. The team is incredibly responsive, always quick to address any queries we’ve had, and they consistently go above and beyond to ensure we fully understand and utilize their services. Their commitment to support and seamless performance earns them a well-deserved 5 stars. Highly recommended!

Zajzon Bodó CEO, Babyndex

Babyndex uses Ximilar’s Image Recognition and Annotate, which is excellent. I can easily set up their services myself. Ximilar has helped in improving accuracy and from that day on, it works perfectly.
Zajzon Bodó
Co-founder & CEO, Babyndex

Filiberto Sosa CEO, Sizes and Colors

We integrate Ximilar’s visual AI into our online product discovery tool. With Ximilar’s visual search, we can tailor recommendations of newly arrived products to customers who are likely to be interested. Our system automatically notifies them, enhancing the overall customer experience. Our experience with Ximilar has been great.

Amos Struck Co-founder, StockPhotos

Way better similar results in our 10 million stock images. Customers can find visually similar pictures by uploading a photo. The integration was fast. We recommend it!

Pavel Macků CEO, Profimedia

The Ximilar technology has been working reliably for many years on our collection of 100M+ creative photos.
CONNECT VIA REST API
Deploy, Connect & Conquer
Deploy latest models on click, connect via REST API, and integrate them into your system or infrastructure.
Technology Stack
Python Client
Python
PHP
cURL
# pip install ximilar-client
import base64
from ximilar.client import FashionTaggingClient
with open(__IMAGE_PATH__, "rb") as image_file:
encoded_string =
base64.b64encode(image_file.read()).decode('utf
-8')
client = FashionTaggingClient("__API_TOKEN__")
response = client.detect_tags([{'_base64': encoded_string}])
import requests, json, base64
endpoint = 'https://api.ximilar.com/tagging/
fashion/v2/detect_tags'
headers = {
'Authorization': "Token __API_TOKEN__",
'Content-Type': 'application/json'
}
with open(__IMAGE_PATH__, "rb") as image_file:
encoded_string =
base64.b64encode(image_file.read()).decode('utf
-8')
data = {
'records': [{'_base64': encoded_string}]
}
response = requests.post(endpoint,
headers=headers, data=json.dumps(data)).json()
$curl_handle = curl_init("https://
api.ximilar.com/tagging/fashion/v2/
detect_tags");
$data = ['records' => [ [ '_url' =>
'__PATH_TO_URL_IMAGE__' ], [ '_base64' =>
base64_encode(file_get_contents(__PATH_TO_IMAGE
__)) ] ] ];
curl_setopt($curl_handle,
CURLOPT_CUSTOMREQUEST, "POST");
curl_setopt($curl_handle, CURLOPT_POSTFIELDS,
json_encode($data));
curl_setopt($curl_handle,
CURLOPT_RETURNTRANSFER, true);
curl_setopt($curl_handle, CURLOPT_FAILONERROR,
true);
curl_setopt($curl_handle, CURLOPT_HTTPHEADER,
array( "Content-Type: application/json",
"Authorization: Token __API_TOKEN__", "cache-
control: no-cache",) );
$response = curl_exec($curl_handle);
$error_msg = curl_error($curl_handle);
curl_close ($curl_handle);
curl --request POST \
--url https://api.ximilar.com/tagging/
fashion/v2/detect_tags \
--header 'Content-Type: application/json' \
--header 'authorization: Token __API_TOKEN__'
\
--data '{"records":[{"_url": "https://
bit.ly/2IymQJv"}]}'